Data Scientist, Reuters
Data Scientist – Reuters News
We envisage the successful candidate being based in either London, United Kingdom or Toronto, Canada.
Want to deploy your academic knowledge and practical skills in a hands-on, problem-solving position? Want to play a key role in how once of the world’s most powerful newsrooms designs and implements solutions that ensure our news gets to the right people at the right time? Well this might be the role for you...
Reuters is looking for a Data Scientist to help create artificial intelligence products for Reuters News. As a Data Scientist, you’ll create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions, maintaining a special focus on data preparation, testing and evaluation of metric performance.
In this varied role, you’ll work on both news technology projects that will play a crucial role in supporting both our global newsrooms as well as the strategy and execution of Reuters’ news production efforts. As such, you’ll work with a range of stakeholders both within the newsroom and with the wider business to determine the path forward in how Reuters puts stories out into the world, from a technological perspective.
As a Data Scientist at Reuters you will:
Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world at high speed.
Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart.
You’re a fit for the role of Data Scientist at Reuters if you have:
Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.
Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure
Please Note: Completed applications must be submitted by Sunday 8th September 2024. Early applications are encouraged.
What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.